| 摘要: |
| 近年来，以引导公众积极情绪，进而提升蓝色空间
心理健康服务水平的研究成为风景园林领域的热点内容，其中
科学测量空间的公众情绪一直是难题。针对公众情绪在蓝色空
间中的分布特征，探讨滨水空间组织、形态、界面与公众情绪
类型和强度偏好的关联机制。以社交媒体照片作为大众情绪响
应的数据来源，引介面部表情读取技术形成公众情绪映射地
图，并进行积极、唤醒、幸福、惊喜、平和5个层次的强度量
化；通过相关性和中介效应分析提取影响公众情绪的城市蓝色
空间特征，并提出调控公共情绪的空间优化导则，精准推进
城市蓝色空间的潜在健康效益转化。结果表明：亲水程度、
高宽比和面积最能显著调动情绪愉悦度和共鸣度；岸线弯曲
的高度亲水界面最有利于情绪积极唤醒；桥上空间最有利于
舒缓脆弱情绪；便捷开放的滨水空间通过行为活动的中介效
应引导积极情绪。 |
| 关键词: 风景园林 城市蓝色空间 公众情绪 面部表情
识别 社交媒体 |
| DOI： |
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| 基金项目: |
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| Blue Space Characteristics Recognition Based on Public Emotion: A Case Study of Songhua River Basin |
| ZHU Xun,ZHANG Ran,ZHAO Xiaolong |
| Abstract: |
| Recent research on landscape has focused on the public's
mental health problems, aiming at promoting positive emotions
and improving mental health services in blue space. However, it
is still a challenge to investigate the impact from spatial features
on the public's emotion. This article focuses on the mitigation
effect of blue space on the emotional exhaustion and explores the
interconnection between waterfront's spatial organization, form
and riverbank, and public emotional type and intensity. First, social
media photos are used to extract the public's real-time emotional
reaction. Then the facial expression recognition technology is used
to quantify the public emotional positiveness, arousal, happiness,
surprise, and peace, and construct a public emotion map. Through
correlation and mediating effect analysis, the urban blue space
characteristics that affect public emotions are extracted, and the
guidelines to improve pleasure, awake enthusiasm, stimulate
resonance, and reduce vulnerability are sorted out. The results show
that the degree of hydrophilicity, aspect ratio and area can most
significantly mobilize emotional pleasure and resonance; the highly
hydrophilic interface with curved shoreline is most conducive to
activate emotional arousal; the space on the bridge is most effective
to reduce emotional vulnerability; the high-walkable and inclusive
waterfront space leads to positive emotions through the mediating
effect of physical activities. |
| Key words: landscape architecture urban blue space public's
emotion facial expression recognition social media |
